Llama 3.3 70b Instruct

Llama 3.3 is optimized for multilingual dialogue use cases and outperforms many of the available open source and closed chat models on common industry benchmarks.

  • Tool Calling
  • Structured Output

Added Feb 27, 2025

Model weights

Pricing

Auto routing · per 1M tokens
Input
$0.050
Output
$0.23
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Specifications

Context window
131.1K
Max output
16.4K
Parameters
70B
Avg output (7d)
41 tokens
Longer than 2% of models

Benchmarks

Sourced from Artificial Analysis.

Intelligence Index

7.7

Better than 27% of models compared

Coding Index

11.9

Better than 11% of models compared

Agentic work

T²-Bench Telecom (legacy)

Legacy fallback · Conversational AI agents in dual-control scenarios

26.6%

Better than 32% of models compared

GDPval-AA v2

Economically valuable tasks (Elo)

-170 Elo

Better than 5% of models compared

Document reasoning

AA-LCR v1.1

Long context reasoning with updated grading

15.7%

Better than 19% of models compared

Reasoning

HLE

Humanity's Last Exam

3.6%

Better than 6% of models compared

IFBench

Instruction-following benchmark

47.1%

Better than 55% of models compared

CritPt

Research-level physics reasoning

0.0%

Coding

Terminal-Bench Hard (legacy)

Legacy fallback · Agentic coding and terminal use

3.0%

Better than 23% of models compared

LiveCodeBench

Contamination-free coding benchmark

28.8%

Better than 32% of models compared

Math

AIME 2025

American Invitational Mathematics Examination 2025

7.7%

Better than 12% of models compared

AIME

American Invitational Mathematics Examination

30.0%

Better than 57% of models compared

Math-500

Diverse mathematical problem solving benchmark

77.3%

Better than 42% of models compared

Knowledge

MMLU-Pro

Professional and academic subject knowledge

71.3%

Better than 39% of models compared

AA-Omniscience Accuracy

Proportion of correctly answered questions

19.0%

AA-Omniscience Hallucination Rate

Rate of incorrect answers among non-correct responses

90.2%

Legacy benchmarks

GPQA Diamond (legacy)

Graduate-level scientific reasoning

49.8%

Better than 23% of models compared

AA-LCR (unversioned / legacy)

Long context reasoning evaluation

15.7%

Better than 19% of models compared

GDPval-AA (unversioned / legacy)

Economically valuable tasks

0.0%

Last updated Oct 3, 2026

Artificial Analysis

Providers

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